Members from Academia

Dr. Susan Coleman (Evaluator) is a Professor of Finance at the Barney School of Business at the University of Hartford. She joined the University of Hartford as an Assistant Professor of Finance in 1988. She received her doctorate from Pace University in 1989 and was named Outstanding Doctoral Student for the year. She also received a Richard D. Irwin Fellowship for her doctoral research on banking. Dr. Coleman’s current research deals with small business finance and particularly the ways in which women-owned businesses finance their businesses. She has authored several publications in this area. Dr. Coleman has extensive assessment experience in technical and engineering areas. Most recently, she served as the evaluator for the University of Hartford’s College of Engineering NSF funded project “Integrating Engineering Design with the Humanities, Social Sciences, Physical Sciences, and Mathematics” from 2000 to 2003 (Grant #9872433). Between 2004 and 2007, she served as the Evaluator for the NSF CCLI A&I funded project “Machine learning Laboratory Experiences for Introducing Undergraduates to Artificial Intelligence” (Grant # 0409497). She is a co-author on several published papers related to these projects.
Dr. Coleman serves on committees of the Greater Hartford Chamber of Commerce, the Connecticut Business and Industry Association, the District One Export Council, and the Permanent Commission on the Status of Women. She is Vice President for the Hartford Area Business Economists and is frequently quoted in the Hartford Courant on business and economic issues. Prior to entering academia, Dr. Coleman held a variety of positions in business including Vice President for Strategic Planning and New Business Development for Citytrust Bancorp and Vice President in charge of Venture Capital Investing for Wafra, an investment advisory firm in New York City.

Dr. Andrea Danyluk is a Full Professor and Chair of the Computer Science Department at Williams College. She received her A.B. from Vassar College and her Ph.D. from Columbia University. She was a researcher at NYNEX (now Verizon) before joining the faculty at Williams in 1994. Her research interests are focused on applications of machine learning. She has published book contributions, journal and conference articles in this area and was co-chair of the International Conference on Machine Learning in 2001. She is a co-author of Java: An Eventful Approach with Kim Bruce and Tom Murtagh. Danyluk has been involved in curricular issues at many levels, both at Williams College and in the larger CS community. She was a member of the Intelligent Systems Focus Group, contributing to the ACM / IEEE Task Force on Computing Curricula 2001.

Dr. Kenneth Ford is Founder and Director of the Institute for Human & Machine Cognition (IHMC) and a Professor at the University of West Florida. In October 2002, President George W. Bush nominated Ford to serve for a six-year term on the National Science Board. His nomination was confirmed by the United States Senate in March. Dr. Ford, who has an interdisciplinary interest in understanding cognition in both humans and other machines, is the author of over a hundred scientific papers and five books. Dr. Ford's other interests include: artificial intelligence, internet-based applications, computer-mediated learning, and entrepreneurship in government and academia. He received a Ph.D. in Computer Science from Tulane University. He is the Editor-in-Chief of AAAI/MIT Press, involved in the editing of several journals, and is a Behavioral and Brain Sciences (BBS) Associate. Dr. Ford has received local and national teaching awards. Dr. Ford is a Fellow of the American Association for Artificial Intelligence. In 1997, he received the University Research and Creative Activities Award at the University of West Florida. In January 1997, Dr. Ford was asked by NASA to help transform it into an information technology agency by developing and directing its new Center of Excellence in Information Technology at Ames Research Center. Dr. Ford was awarded the NASA Outstanding Leadership Medal.

Dr. Michael Georgiopoulos is a Full Professor in the Electrical and Computer Engineering Department at the University of Central Florida and Co-Director of the Machine learning Lab. He received his Ph.D. from the University of Connecticut. His current research emphasis is in machine learning and neural network algorithms (with emphasis on ART neural networks), design of smart antennas using neural networks, and modeling of computer generated forces using neural network and symbolic techniques. He serves as an associate editor of the IEEE Transactions of Neural Networks and Associate Editor of the Neural Networks Journal. He has published 55 papers in journals and over 160 papers in conferences in the areas of neural networks, machine learning, and communications. He has principal or co-principal investigator on grants totaling more than $8.5M.

Dr. David B. Leake is a Full Professor and the Director of Graduate Studies for the Computer Science Department at Indiana University. He is also a member of the university's Cognitive Science Program faculty and the faculty of the Human-Computer Interaction Program of the School of Informatics. He received his Ph.D. in Computer Science from Yale University in 1990. His research interests include case-based reasoning, explanation, intelligent user interfaces, knowledge management, and introspective reasoning. He has published over 100 research publications. He is the author of Evaluating Explanations: A Content Theory (Erlbaum, 1992), co-editor of Goal-Driven Learning (MIT Press/Bradford Books, 1995), and editor of Case-Based Reasoning: Experiences, Lessons, and Future Directions (AAAI Press, 1996). He has served as chair or program chair for conferences and workshops including the International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT), the International Conference on Intelligent User Interfaces (IUI), and was the International Conference on Case-Based Reasoning (ICCBR). He is the Editor of AI Magazine.

Dr. Lisa Meeden is an Associate Professor of Computer Science and Chair of the Cognitive Science Program at Swarthmore College. Her research interests are in the areas of machine learning, artificial intelligence, robotics, and computer science education. She has published extensively in these areas. Dr. Meeden has been a Co-PI on several NSF funded projects involving Robotics in the undergraduate curriculum.

Dr. Tom M. Mitchell is the Fredkin Professor of Computer Science within the Center for Automated Learning and Discovery at Carnegie Mellon University. His research lies in the area of machine learning, data mining, artificial intelligence, and information fusion. Mitchell is Past President of the American Association of Artificial Intelligence (AAAI), author of the textbook "Machine Learning," and a member of the National Research Council's Computer Science and Telecommunications Board. He received the 2002 Debye Prize for his research in computer science. Mitchell is the founding director of CMU's Center for Automated Learning and Discovery, an interdisciplinary research center specializing in statistical machine learning and data mining, and the first institution to offer a Ph.D. program specifically in this area. Mitchell's recent research has focused on machine learning approaches to analyzing human brain function based on fMRI data, and on machine learning for intelligent personal assistants.

Dr. Lynn Andrea Stein is a Professor of Computer Science and Engineering at Olin College. She joined Olin College from MIT, where she was an Associate Professor of Computer Science. She has a bachelor's degree, cum laude, in computer science from Harvard and Radcliffe Colleges and master's and doctorate degrees in computer science from Brown University.
Dr. Stein has pioneered the development of a new and innovative approach to the teaching of computer science. Computer scientists have typically viewed computation as the step-by-step process of producing a result. Modern computational systems (such as the World Wide Web) require an alternative conceptualization of computation in terms of interactive architectures. Interactive architectures can be used to better model not only the Web, but also other complex systems such as those in robotics, information management, and software design. Dr. Stein has developed innovative robotics laboratories for students to learn and demonstrate the power of her new approach.
In robotics, her research has focused on designing, building, and understanding the architectures that underlie cognition in biological and artificial systems. The robotic systems her research group has built involve bridging the gap between the low-level behavior traditionally associated with robotics and higher levels of cognition that more closely approximate thinking.
Dr. Stein has won numerous awards and honors, including the General Electric Foundation Faculty for the Future Award and the National Science Foundation Young Investigator Award. She was named Institute Fellow, KISS Institute for Practical Robotics, and received the Ruth and Joel Spira Teaching Award. She has also served as a Mary Ingraham Bunting Fellow.
Dr. Stein has served as the invited keynote speaker at numerous international conferences on innovation in computer science and computer engineering education. She has numerous refereed journal publications, and next year is publishing a book, Introduction to Interactive Programming, which presents in detail her innovative computational metaphor and cognitive architectures.

Members from Industry

Mr. Craig Bogli is Principal Engineer at Otis Elevator. He has worked as an electrical design engineer on Otis elevator products for 20+ years; initially through a wholly-owned subsidiary of United Technologies Corp. called Building Systems Company, then later at Otis Elevator. Over the last 7 years, he has worked in the Otis Drives group as a circuit designer working in the area of digital and analog circuit design of elevator components. The elevator “drive” is responsible for converter 3 phase industrial AC power into variable-voltage-variable-frequency 3-phase power to control direction, speed and torque of the elevator motor. Significant engineering tasks include: drive subsystem architectures, mixed signal ASIC (specify requirements, test & validate ASIC, integrate ASIC into board design), I/O and communication expansion of DSP through CPLD.

Mr. Michael Daigle is a co-founder of Software Impressions LLC, a software development services and products firm based in Avon, Connecticut. The company specializes in the development and integration of business applications and has a track record of delivering cost-effective solutions to business problems that improve the end-user’s efficiency and software experience. He has 22 years experience developing custom business applications. His responsibilities have ranged from development mentoring and project management on technology projects for dozens of clients, from Fortune 100 to software startup companies. These systems have been deployed globally to hundreds of companies and thousands of users in a number of industries, including Insurance, Distribution, Software, Legal, Finance, and Training. He is currently focused on assisting enterprises to improve their knowledge sharing capabilities via the delivery of structured (data) and unstructured (documents) content into personalized user interfaces utilizing Internet or web-based channels.